Enhancing System Security via Out-of-Market Correction Procedures

Nikita G. Singhal, Nan Li, Kory Hedman

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Electric power grid is one of the most complex engineered systems in the 21 st century. Several challenges, including unexpected system element failure and resource uncertainty, exist for an efficient and reliable operation of a power system. While algorithmic performance and computation hardware have advanced significantly, model approximations and simplifications are still used in commitment and dispatch models. Operators must, therefore, seek to adjust and correct unreliable solutions outside of the market engine. Such operator-initiated actions are referred to as out-of-market corrections (OMC) in this paper. Two OMC models are proposed to mimic and optimize the process that operators take to adjust unreliable solutions. The OMC models estimate the operating costs incurred to move an unreliable solution to a reliable one. The proposed models are used to evaluate the reliability of the system and are compared with the traditional value-of-lost-load approach. The case study is conducted using the IEEE 118-bus system.

Original languageEnglish (US)
Title of host publication2018 IEEE Power and Energy Society General Meeting, PESGM 2018
PublisherIEEE Computer Society
ISBN (Electronic)9781538677032
StatePublished - Dec 21 2018
Event2018 IEEE Power and Energy Society General Meeting, PESGM 2018 - Portland, United States
Duration: Aug 5 2018Aug 10 2018

Publication series

NameIEEE Power and Energy Society General Meeting
ISSN (Print)1944-9925
ISSN (Electronic)1944-9933


Other2018 IEEE Power and Energy Society General Meeting, PESGM 2018
Country/TerritoryUnited States


  • Out-of-market corrections
  • Power generation scheduling
  • Power system reliability
  • Unit commitment

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Nuclear Energy and Engineering
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering


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